Prediction of Prenatal Ultrasound Screening Staff's Situation in Beijing Based on ARIMA Model / 中国医学科学院学报

Objective To understand the current situation and predict the trends in number and composition of prenatal ultrasound screening staff in Beijing. Methods We analyzed the region,age,professional title and other characteristics of prenatal ultrasound screening personnel in Beijing during 2007-2015.We then built an ARIMA model basing on the current situation to predict the number and composition of the staff in 2016-2020. Results The number of prenatal ultrasound screening staff showed an upward trend in 2007-2020 and was predicted to reach 1269 in 2020.During this period,the educational achievement and professional title of the staff showed a downward trend,and the working years became shorter,mainly below 5 years.The proportion of resident doctors remained at 26.6%,and that of the staff receiving further education would reach 43.2% by the end of 2020. Conclusion The prediction under ARIMA model suggests that efforts should be made to strengthen the training of young doctors and provide them opportunities for further study.

Differentially expressed genes and apoptosis-related pathways in Keshan disease / 中华地方病学杂志

Objective To investigate the differences in gene expression profiles of peripheral blood from patients with Keshan disease (KD) and the apoptosis mechanism in KD,to obtain diagnostic markers and establish diagnostic centroids plot for KD.Methods RNA was isolated from ten patients with KD diagnosed according to the clinical criteria for KD in China and ten health controls.The expression profiles were evaluated by Agilent 4 ×44K Whole Human Genome density oligonucleotide microarray analysis.The data were extracted by Agilent Feature Extraction Software t test,Pathway studio analysis and prediction analysis for microarray (PAM) were used to identify differently expressed genes,gene pathways,diagnostic markers and establish diagnostic centroids plot.Results Totally 1 570 up-regulated genes and 1 498 down-regulated genes were identified.Thirty-eight enrichment pathways were also identified,and the highest ranked by Pathway studio analysis was related to apoptosis.Six genes involved in apoptosis pathway were up-regulated in KD included ataxia telangiectasia mutated (ATM),cAMP-dependent protein kinase,protein kinase A (PKA),baculoviral IAP repeat-containing 2 (BIRC2),NLR family,apoptosis inhibitory protein (NAIP),BCL2-1ike 11 (Bim),BCL2-related protein A1 (BCL2A1) and down-regulated were 7 which included caspase 8 (CASP8),BCL2 binding component 3 (BBC3),BCL2--associated athanogene (BAG1),BCL2-associated X protein (BAX),BCL2-1ike 1 (BCL2L1),BCL2-related ovarian killer (BOK),and caspase 6 (CASP6).Forty-two diagnostic markers were obtained through PAM analysis.Conclusions Apoptosis related to genes and pathways might play an important role in the pathogenesis of KD.Forty-two markers could be used as molecular markers for the diagnosis of KD,which is important to the diagnosis of KD.

Establishment and validation of classifiers to predict genotoxic and non-genotoxic carcinogens / 中国药学杂志

OBJECTIVE: To establish classifiers to predict genotoxic and non-genotoxic carcinogens using toxicogenomics methods, explore the effect of exposure time and validated the prediction performance of the classifiers. METHODS: The primary mouse hepatocyte model was treated for 24 and 48 h with two genotoxic carcinogens, aflatoxin Bl (AFB1), benzo(a) pyrene (BAP) and two non-genotoxic carcinogens, thioacetamide (TAA), wyeth-14643 (WY). The differentially expressed genes were input to prediction analysis for microarray (PAM) software to screen out classifiers. The functions and interrelations of genes in classifiers were studied by gene set enrichment analysis (GSEA) and the protein-protein interactions were predicted using STRING database. Two additional carcinogens to validate the prediction performance of the classifiers were used. Finally, the experiment of QuantiGene Multiplex assay (Q-GP) to validate the microarray data was used. RESULTS: Forty-eight h classifiers had a better predicted capability than that of 24 h classifiers. p53 pathway, TNF-α signaling pathway, fatty acid metabolism, PPAR signaling pathway involved in the classifires were enriched by GSEA. Carcinogenic protein-protein interaction network and metabolism-related protein-protein interaction network are obtained using STRING database. The predicted probability of the two additional carcinogens using 48 h classifiers was nearly 100% and data between QuantiGene Multiplex assay and microarray assay had a high conformity. CONCLUSION: The classifiers which could be used to discriminate the potential genotoxic carcinogens and non-genotoxic carcinogens and to predict modes of action for unknown compounds, are successfully established and validated. This might be a promising candidate in vitro method for carcinogenicity study in the field of nonclinical safety evaluation of drugs.

Prediction of Postoperative Voice by Speech Synthesis in Benign Laryngeal Diseases / 대한이비인후과학회지

BACKGROUND AND OBJECTIVES: Though patients who have undergone surgery due to pathologic voice with benign laryngeal diseases are concerned about postoperative voice quality, there was no way to propose postoperative voice objectively. For this reason, the authors studied to synthesize predictive postoperative voice based on preoperative voice. MATERIALS AND METHOD: The authors evaluated 47 patients who experienced laryngeal microsurgery due to pathologic voice with benign laryngeal diseases. The voice was analysed by Computerized Speech Lab 4300B. Linear Prediction and Pitch Synchronous Overlap and Add methods were used to synthesize the predictive voice. Assessments for the synthetic voice were sound waves, spectrographic patterns with preoperative voice, and an acoustic evaluation of the postoperative voice. RESULTS: Synthetic voice showed improvement of noise component in a high frequency range that was seen in preoperative voice on spectrographic analysis. In the perceptual test, the degree of similarity in both postoperative and synthetic voice was similar and almost the same in 75% of test voice. CONCLUSION: The synthesized voice from this program was not completely identical to the real postoperative voice, but most of the tested synthetic voice was satisfactory in the perceptual test. So we conclude that this study is meaningful as a first trial that showed the possibility of synthesizing a postoperative voices by using its preoperative voice.